Bridging the Gap between Conversational Reasoning and Interactive Recommendation. - Wenchang Ma; Ryuichi Takanobu; Minghao Tu; Minlie Huang (CoRR, 2020)

CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation. - Wenchang Ma; Ryuichi Takanobu; Minlie Huang (EMNLP (1), 2021)

Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. - Yuning Mao; Wenchang Ma; Deren Lei; Jiawei Han 001; Xiang Ren 001 (EMNLP (1), 2021)

Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation. - Yuning Mao; Wenchang Ma; Deren Lei; Xiang Ren 001 (CoRR, 2021)

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. - An Zhang 003; Wenchang Ma; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2022)

Boosting Causal Discovery via Adaptive Sample Reweighting. - An Zhang 003; Fangfu Liu; Wenchang Ma; Zhibo Cai; Xiang Wang 010; Tat-Seng Chua (ICLR, 2023)

Discovering Dynamic Causal Space for DAG Structure Learning. - Fangfu Liu; Wenchang Ma; An Zhang 003; Xiang Wang 010; Yueqi Duan; Tat-Seng Chua (KDD, 2023)

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. - An Zhang 003; Fangfu Liu; Wenchang Ma; Zhibo Cai; Xiang Wang 010; Tat-Seng Chua (CoRR, 2023)

General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. - An Zhang 003; Wenchang Ma; Pengbo Wei; Leheng Sheng; Xiang Wang 010 (WWW, 2024)

Robust Collaborative Filtering to Popularity Distribution Shift. - An Zhang 003; Wenchang Ma; Jingnan Zheng; Xiang Wang 010; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)